231 Predictive Analytics jobs in Canada

**Description**
Do you want to be at the forefront of insurance industry innovation and leadership? Do you want to partner with insurers across North America to help deliver cutting-edge capabilities across their organizations? Do you want to work with the original Insurtech, driving performance improvement through our technology? If so, this might be the opportunity for you!
WTW is looking for an experienced P&C data scientist in the North American market with predictive modeling and advanced analytics experience to join as a Property & Casualty (P&C) Associate Director in our Insurance Consulting and Technology (ICT) practice. In this role, you will collaborate with our team of pricing, portfolio management, underwriting, finance and claims experts to design and implement cutting-edge solutions to challenges faced by the top insurers.
ICT provides a powerful combination of advisory services for insurance companies, integrated with leading-edge technology solutions and software, all underpinned by unparalleled analytical capability. WTW has ambitious growth plans for our North America P&C propositions. Our goal is to substantially increase our footprint as we advise our insurance clients, with analytics and data science being a clear enabler of transformation throughout their organizations.
This position can be based in a major North American market and is open to remote/virtual work.
Note that visa employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.
**The Responsibilities**
+ Develop integrated consulting and technology solutions for our clients
+ Combine extensive knowledge of data science market practice in an insurance context and innovation to build robust analytics processes that deliver insights to decision makers at the point of decision making
+ Develop and implement data strategies for clients
+ Design, build, test and run data science processes for clients
+ Design data science technology infrastructures for clients' analytical and operational functions
+ Build effective predictive models, analytical tools and processes using a wide range of analytical and data science techniques
+ Meet billable hour target and revenue goals, operating as a highly respected and effective consultant
+ Prepare proposals and presentations leveraging marketing resources, practice groups, subject matter experts and client relationship managers for existing clients
+ Serve as a mentor and project manager to more junior colleagues, training them on both the technical and theoretical aspects of insurance as well as project delivery methods
+ Contribute to the development of WTW's intellectual capital and future proposition development, including go-to-market strategy
**Qualifications**
**The Requirements**
+ At least 5 years P&C insurance experience
+ At least 3 years predictive modeling experience
+ Experience working on a data science or analytics team at an insurance company or consulting firm
+ Strong analytical skills including ability to draw conclusions and identify trends from data in a logical, systematic way
+ Solid experience with data manipulation
+ An understanding of machine learning and statistical theory
+ An understanding of how to utilize technology to optimize outcomes within an organization
+ Awareness of main data enrichment sources and open source data assets most valuable to insurance companies
+ Awareness of Insurtech activities in this space
+ Capable of leveraging past experience and expertise to adapt to current projects and challenges outside of core skill set
+ Comfortable navigating ambiguity and developing innovative solutions
+ Committed to training and mentoring less experienced colleagues
+ Practiced in managing complex projects and delegating work to senior and junior colleagues
+ Available to travel as needed
**Nice to Haves**
+ Experience with Radar software
+ Experience leading or participating on actuarial or underwriting transformation projects
+ Knowledge of North American insurance marketplace and carriers
+ Professional designation such as CSPA or ACAS
**This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.**
**Compensation and Benefits**
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).
**Compensation**
The base salary compensation range being offered for this role is $150,000 - $230,000 USD per year. This role is also eligible for an annual short-term incentive bonus.
**Company Benefits**
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):
+ **Health and Welfare Benefits:** Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
+ **Leave Benefits:** Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off ( **Retirement Benefits:** Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans.
_Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records._
At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a "hybrid" style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and "hybrid" is not a one-size-fits-all solution.
We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.
**EOE, including disability/vets**

**Innovation is in our DNA. is it in yours?**
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**Intern, Data Management and Analysis (Fall 2025)**
**What are your contributions to the team?**
+ Support the analysts et experts in identifying improvement opportunities and in the development of new dashboards.
+ Support, develop and optimize various statistical and analytical models.
+ Aid during the requirements gathering sessions.
+ Support various internal tasks, initiatives, and projects.
+ Application/softwares such as: Power BI, SQL Tools, Sharepoint, Power Apps, Power Automate and project management tools.
+ Develop soft skills: knowing how to manage the changes based on weekly priorities in Azure Dev Ops, present your work during your project progression, fill out requests to IT group, document the changes and ensure the transfer of knowledge.
+ Participate to meetings of Engineering department, internal group for general information and communication of technical knowledges.
+ The stages et statuses during the development of Bombardier business airplanes.
**How to thrive in this role?**
+ You have the necessary skills to be able to work effectively in a collaborative team environment.
+ You are a university student with an interest in data analysis, Machine Learning and AI application.
+ You have some knowledge of SQL, Power BI, Python.
+ You have experience with Microsoft Office (Excel, PowerPoint, Word, Visio, SharePoint).
+ You are bilingual and possess good communication skills in both French and English.
?
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Virtual or on site
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
?

**Machine Learning Engineer**
Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!
Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at .
**Purpose and Scope:**
As an Information X Machine Learning Engineer, you will play a crucial role in designing, building, and deploying machine learning solutions. Your expertise in statistical & machine learning concepts will be instrumental in enabling data-driven decision-making and outcomes. Working within small agile teams that are focused on delivering value, you will play a pivotal role in building, maintaining, and enhancing our strategic systems across the organisation.
**Essential Job Responsibilities:**
+ Design, develop and implement robust and scalable statistical and machine learning models.
+ ML Pipeline Development: Design, build, and optimize ML pipelines. Ensuring quality, reliability, and scalability.
+ Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.
+ AI/ML Strategy Contribution: Contribute to the organization's AI/ML strategy by identifying opportunities for data-driven insights and improvements.
+ Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.
+ Collaborate with cross functional teams and practises across the organisation including Commercial, Manufacturing, Medical, Finance, Development, and support other Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions.
+ Champion continuous improvement initiatives identifying opportunities to optimise performance security and maintainability of existing data and platform architecture and other technology investments.
+ Leverage your knowledge of ML principles to integrate with existing pipelines and explore new possibilities.
+ Stay-up-to-date on the latest trends and technologies in machine learning.
**Required Qualifications:**
+ Bachelor's degree in math, physics, statistics, economics, computer science, or related field (master's preferred) or equivalent experience
+ 1-3+ years of experience in machine learning and data science with a strong understanding of tools and technologies.
**Preferred Qualifications:**
+ Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains.
+ Other complex and highly regulated industry experience will be considered across diverse areas like Commercial, Manufacturing and Medical.
**Benefits:**
+ Medical, Dental and Vision Insurance
+ Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks
+ Country Specific Retirement Savings Plan (401k, RRSP, etc.)
+ Company paid life insurance
+ Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
+ Long Term Incentive Plan for eligible positions
+ Referral bonus program
#LI-TD
Category InformationX
Astellas is committed to equality of opportunity in all aspects of employment.
EOE including Disability/Protected Veterans

Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutions. Apply now to compete at the forefront of generative AI and financial technology!
At Manulife, we offer a uniquely collaborative environment where you will craft, develop, and deploy generative AI applications. These include copilots, summarization tools, conversational agents, and retrieval-augmented generation (RAG) pipelines to support both internal teams and client-facing platforms.
As a Machine Learning Engineer, your role will be crucial in implementing and fine-tuning large language models, integrating them with vector databases, and building scalable RAG systems. Collaborating with financial domain experts, you will understand complex use cases in wealth management, retirement planning, risk analysis, and client servicing. You'll also build and maintain APIs, model serving layers, and secure pipelines to ensure robust deployment and monitoring.
In this ambitious role, you will implement MLOps workflows to manage the full model lifecycle, including versioning, evaluation, and drift detection. Ensuring data privacy, security, compliance (e.g., FINRA, SEC), and responsible AI practices in all model deployments, you will contribute to our world-class standards!
**Required Qualifications**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ 3+ years of experience in machine learning engineering, including experience with production-level deployment.
+ Proficient in Python and experienced with generative AI and machine learning frameworks (e.g., Hugging Face Transformers, LangChain, PyTorch).
+ Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD workflows.
+ Experience building generative AI applications in a financial context (e.g., advisor tools, regulatory automation, portfolio analysis).
+ Deep understanding of LLM fine-tuning, embeddings, and timely optimization.
+ Knowledge of MLOps tools (MLflow, SageMaker, Azure ML) and model monitoring frameworks.
**Preferred Qualifications**
+ Familiarity with enterprise architecture, APIs, and secure software design in regulated environments.
+ Familiarity with timely engineering.
+ Awareness of financial regulations and compliance considerations (e.g., data retention, audibility, explainable).
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

**Job Requisition ID #**
25WD86908
+ **Position Overview** We are seeking a hands-on Engineering Manager to lead our skilled team of software and ML engineers in the design, development, and maintenance of AMP, our next generation _machine learning_ platform. Your management role extends beyond providing technical leadership; you will be a pivotal figure in fostering collaboration with partners and driving platform adoption. Collaborating closely with cross-functional teams including product management, data science, and infrastructure, you will define and execute the AI/ML platform roadmap. Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring alignment with organizational goals and priorities. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget. **Responsibilities**
+ Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
+ Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
+ Provide sound technical guidance and drive crucial technology decisions
+ Actively participate in coding review processes, and problem-solving alongside your team
+ Stay updated with the latest advancements in AI/ML technologies
+ Provide guidance of the design and architecture of scalable, reliable, and efficient AI/ML systems
+ Ensure adherence to best practices in software development, code quality, and security standards
+ Manage project timelines and resource allocation to drive deliverables
+ Foster a culture of innovation, agility, collaboration, and continuous improvement within the engineering team
+ Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision **Minimum Qualifications**
+ BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
+ Minimum of 3 years of experience of software engineering, with at least 3 years in a leadership or management role
+ Proven experience leading and mentoring software and ML engineering teams. Ability to inspire, motivate, and guide team members towards achieving project goals
+ Ability to align technical objectives with business goals. Skilled at roadmap development, setting clear objectives, and prioritizing tasks
+ Ability to plan, execute, and deliver projects timely and efficiently allocate resources and managing workload distribution among team members
+ Skilled in identifying potential project risks and developing mitigation strategies
+ Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
+ Ability to design and build scalable, high-performance systems with understanding of cloud services (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes)
+ Solid understanding of agile software development methodologies and management practices
+ Working knowledge of CI/CD pipelines, automation tools, and practices for _machine learning_ lifecycle management
+ Excellent communication skills to effectively liaise with various stakeholders, including product managers, data scientists, and upper management
+ Ability to foster a collaborative team environment
+ Managers of Professional roles - and/or managers of people that manage Support roles
+ Manages work for medium size team, or multiple small teams and achieves results by directing work through supervisors/team leads and professional employees
+ Typically focused on areas of subject matter expertise within one discipline
+ Keep their teams organized, efficient, effective, productive, and motivated through professional leadership techniques
+ Responsible for managing deliverables against expected results with a timeline that is typically longer than a quarter
+ Focus is more operational, and decisions are typically made within established policies, procedures and objectives **Preferred Qualifications**
+ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, specifically AWS SageMaker or Azure _Machine Learning_
+ Prior experience in building AI/ML platforms
+ Understanding of MLOps principles and practices for effectively managing and automating _machine learning_ workflows, including _model_ versioning, monitoring, and deployment **Ingénieur Manager - Plateforme** IA & ML _Traduction française à suivre !_ **Présentation du poste** Nous recherchons un ingénieur manager pour diriger notre équipe d'ingénieurs logiciels et ML dans la conception, le développement et la maintenance d'AMP, notre plateforme d'apprentissage automatique de nouvelle génération. Votre rôle de manager va au-delà de la direction technique ; vous serez une figure centrale dans la promotion de la collaboration avec les partenaires et l'adoption de la plateforme. En étroite collaboration avec des équipes interfonctionnelles, notamment la gestion des produits, la science des données et l'infrastructure, vous définirez et exécuterez la feuille de route de la plateforme IA/ML. Vos responsabilités comprennent la conduite de la stratégie technique, l'exécution et la livraison de plateformes IA/ML évolutives, en veillant à l'alignement avec les objectifs et les priorités de l'organisation. Ce poste requiert une combinaison d'expertise technique dans les technologies IA/ML, de solides compétences en leadership et une expérience avérée dans la réalisation de projets complexes dans le respect des délais et du budget. **Responsabilités**
+ Diriger et encadrer une équipe d'ingénieurs dans le développement et le déploiement de solutions d'IA/AA
+ Collaborer avec des équipes interfonctionnelles, notamment la gestion des produits, la science des données, les données et l'infrastructure cloud, pour définir et exécuter la feuille de route de la plateforme d'IA/AA
+ Fournir des conseils techniques avisés et prendre des décisions technologiques cruciales
+ Participer activement aux processus de révision du codage et à la résolution de problèmes aux côtés de votre équipe
+ Se tenir au courant des dernières avancées en matière de technologies d'IA/AA
+ Fournir des conseils sur la conception et l'architecture de systèmes d'IA/ML évolutifs, fiables et efficaces
+ Veiller au respect des meilleures pratiques en matière de développement de logiciels, de qualité du code et de normes de sécurité
+ Gérer les délais des projets et l'allocation des ressources pour obtenir des résultats
+ Favoriser une culture d'innovation, d'agilité, de collaboration et d'amélioration continue au sein de l'équipe d'ingénierie
+ Participer activement au processus de recrutement pour attirer et intégrer les meilleurs talents en ingénierie, en veillant à ce que l'équipe possède les compétences et l'expertise nécessaires pour concrétiser la vision de la plateforme IA/AA **Qualifications minimales**
+ Licence/Master en informatique, ingénierie ou dans un domaine connexe. (Master de préférence)
+ Au moins 3 ans d'expérience en génie logiciel, dont au moins 3 ans dans un rôle de direction ou de gestion
+ Expérience avérée dans la direction et l'encadrement d'équipes d'ingénierie en logiciels et en AA Capacité à inspirer, motiver et guider les membres de l'équipe vers la réalisation des objectifs du projet
+ Capacité à aligner les objectifs techniques sur les objectifs commerciaux. Compétences en matière d'élaboration de feuilles de route, de définition d'objectifs clairs et de hiérarchisation des tâches
+ Capacité à planifier, exécuter et livrer des projets en temps voulu et de manière efficace, à allouer des ressources et à gérer la répartition de la charge de travail entre les membres de l'équipe
+ Compétences en matière d'identification des risques potentiels des projets et d'élaboration de stratégies d'atténuation
+ Solide expérience en IA/ML avec une expertise en apprentissage profond, en modélisation statistique et en réseaux neuronaux
+ Capacité à concevoir et à construire des systèmes évolutifs et performants avec une bonne compréhension des services cloud (AWS, GCP, Azure) et des technologies de conteneurisation (Docker, Kubernetes)
+ Solide compréhension des méthodologies de développement logiciel agiles et des pratiques de gestion
+ Connaissance pratique des pipelines CI/CD, des outils d'automatisation et des pratiques de gestion du cycle de vie de l'apprentissage automatique
+ Excellentes compétences en communication pour assurer une liaison efficace avec les différentes parties prenantes, notamment les chefs de produit, les scientifiques des données et la direction générale
+ Capacité à favoriser un environnement d'équipe collaboratif
+ Gestionnaires de Rôles professionnels - et/ou gestionnaires de personnes qui gèrent des Rôles de soutien
+ Gère le travail d'une équipe de taille moyenne ou de plusieurs petites équipes et obtient des résultats en dirigeant le travail par l'intermédiaire de superviseurs/chefs d'équipe et d'employés professionnels
+ Généralement axé sur des domaines d'expertise dans une discipline
+ Garde ses équipes organisées, efficaces, productives et motivées grâce à des techniques de leadership professionnel
+ Responsable de la gestion des livrables par rapport aux résultats attendus avec un calendrier généralement plus long qu'un trimestre
+ L'accent est davantage mis sur les opérations et les décisions sont généralement prises dans le cadre de politiques, de procédures et d'objectifs établis **Qualifications préférées** **ngineer Manager - AI & ML Platform** Connaissance des plateformes cloud telles que AWS, Azure ou Google Cloud Platform, en particulier AWS SageMaker ou Azure _Machine Learning_
+ Expérience préalable dans la création de plateformes d'IA/ML
+ Compréhension des principes et des pratiques MLOps pour gérer et automatiser efficacement les workflows d'apprentissage automatique, y compris le versionnage, la surveillance et le déploiement des modèles
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).

**Job Requisition ID #**
25WD85433
**25WD85433, Développeur en apprentissage automatique**
_French translation to follow!/Traduction française à venir!_
**Aperçu du poste**
Autodesk est à la tête de la transformation de l'industrie AEC, en intégrant la technologie de l'IA dans nos produits. Nous améliorons nos applications avec des capacités cloud-natives, y compris les données à l'échelle, l'edge computing, les solutions basées sur l'IA, et la modélisation et les graphiques 3D avancés. IA, ainsi que la modélisation et le graphisme 3D avancés. Cette innovation Cette innovation concerne nos produits phares - AutoCAD, Revit et Construction Cloud - ainsi que Forma, notre nouveau produit Industry Cloud. Cloud - et Forma, notre nouveau Cloud industriel.
En tant qu'ingénieur en apprentissage automatique au sein de l'équipe AEC Solutions, vous rejoindrez une équipe de technologues pour aider à construire les fondations de la technologie. équipe de technologues pour aider à construire des modèles de base et des outils d'IA générative pour l'industrie AEC. générative pour l'industrie AEC. Vous travaillerez en collaboration pour créer et Vous travaillerez en collaboration pour créer et interpréter des données de conception qui peuvent améliorer les flux de travail de conception et d'ingénierie.
Rapport: Vous serez rattaché(e) au responsable de l'apprentissage automatique au sein de l'unité Architecture, ingénierie et construction (AEC).
Architecture, Engineering, and Construction (AEC) Solutions Team.
Lieu de travail : Nous soutenons le travail hybride et vous travaillez près de nos bureaux de Boston,
Massachusetts ou de Toronto, Canada.
**Responsabilités**
+ Collaborer avec d'autres ingénieurs pour développer des pipelines et des architectures de données évolutives
+ Travailler avec des ensembles de données à grande échelle, y compris des données textuelles et géométriques, pour soutenir le prétraitement, l'augmentation, l'analyse et la compréhension du contenu
+ Vous êtes en charge de la conception et de l'exécution d'expériences de modélisation, de l'évaluation des performances et de l'itération sur la base des résultats obtenus
+ Surveillez, dépannez et optimisez les modèles d'apprentissage automatique pour garantir la précision, l'efficacité et une faible latence
+ Effectuer l'analyse des besoins, travailler avec des membres de l'équipe de différents niveaux et documenter les solutions
+ Communiquer vos résultats par le biais d'analyses de données quantitatives, de visuels qualitatifs et d'aperçus
+ Mettre en œuvre des approches agiles garantissant la flexibilité et la réactivité face à l'évolution des besoins du projet
**Qualifications minimales**
+ Une maîtrise en apprentissage automatique, en intelligence artificielle, en mathématiques, en statistiques, en informatique ou dans un domaine connexe
+ 3 - 5+ années d'expérience en ingénierie de l'apprentissage automatique ou dans un domaine connexe
+ Expertise dans la formation de réseaux neuronaux profonds, tels que les CNN et les Transformers, avec une maîtrise des bibliothèques et des cadres modernes d'apprentissage profond (par exemple, PyTorch, Lightning, Ray)
+ Expérience des LLM et des technologies connexes, y compris les cadres, les modèles d'intégration, les bases de données vectorielles et les systèmes RAG (Retrieval-Augmented Generation)
+ Expérience de la modélisation, de l'architecture et du traitement des données à l'aide de diverses représentations de données, y compris la géométrie 2D/3D
+ Expérience des services en nuage AWS et de SageMaker Studio pour le traitement évolutif des données et le développement de modèles
+ Solide compréhension des algorithmes informatiques fondamentaux et de leurs comportements de mise à l'échelle
+ Excellentes compétences en codage dans des langages procéduraux et orientés vers l'analyse de données (par exemple, Python)
+ Capacité à traduire des concepts théoriques en solutions pratiques et en prototypes de mise en œuvre
+ Solides compétences en matière de documentation du code, des architectures et des expériences
+ Expérience en architecture, ingénierie ou construction
+ Expérience pratique de la préparation des données, de la sélection des hyperparamètres, des techniques d'accélération et des méthodes d'optimisation
+ Expérience de la distribution parallèle d'algorithmes à l'aide de plateformes telles que Spark ou Hadoop
+ Expérience pratique dans le développement d'algorithmes d'apprentissage automatique à grande échelle
**Le candidat idéal**
+ Vous êtes passionné par la résolution de problèmes pour les clients AEC (Architecture, Ingénierie et Construction) en appliquant des techniques d'apprentissage automatique
+ Vous êtes à l'aise pour travailler dans des domaines nouveaux et ambigus où l'apprentissage et l'adaptabilité sont des compétences clés
+ Vous collaborez facilement avec les autres et êtes à l'aise avec un minimum de directives
+ Vous vous efforcez constamment d'apprendre de nouvelles technologies et méthodologies
+ Vous cherchez de nouvelles façons de résoudre des problèmes difficiles
+ Vous n'avez pas peur d'exprimer vos idées et d'échouer rapidement
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**25WD85433, Machine Learning Developer**
**Position Overview**
Autodesk is leading the transformation of the AEC industry, integrating AI
technology into our products. We're enhancing our applications with cloud-
native capabilities, including data at scale, edge computing, AI-based
solutions, and advanced 3D modeling and graphics. This innovation is
happening across our flagship products-AutoCAD, Revit, and Construction
Cloud-and Forma, our new Industry Cloud.
As a Machine Learning Engineer on the AEC Solutions team, you will join a
team of technologists to help build foundation models and generative AI
tools for the AEC industry. You will work collaboratively to create and
interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston,
Massachusetts or Toronto, Canada offices.
**Responsibilities**
+ Collaborate with other engineers to develop scalable data pipelines and architectures
+ Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
+ Write production-quality code for model training, testing, and deployment.Design and execute model experiments, evaluate performance, and iterate based on findings
+ Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
+ Perform requirements analysis, working with team members of different levels and documenting solutions
+ Communicate your findings through quantitative data analysis and qualitative visuals and insights
+ Implement agile approaches ensuring flexibility and responsiveness toevolving project needs
**Minimum Qualifications**
+ An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
+ 3 - 5+ years of experience in machine learning engineering or a related field
+ Expertise in training deep neural networks, such as CNNs and Transformers, with proficiency in modern deep learning libraries and frameworks (e.g., PyTorch, Lightning, Ray)
+ Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
+ Experience in data modeling, architecture, and processing using various data representations, including 2D/3D geometry
+ Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
+ Strong understanding of fundamental computer science algorithms and their scaling behaviors
+ Excellent coding skills in both procedural and data-analytics-oriented languages (e.g., Python)
+ Ability to translate theoretical concepts into practical solutions and prototype implementations
+ Strong documentation skills for code, architectures, and experiment
+ Background in Architecture, Engineering, or Construction
+ Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
+ Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop
+ Practical experience in developing high scale machine learning algorithms
**The Ideal Candidate**
+ You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
+ You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
+ You easily collaborate with others and are comfortable with minimal direction
+ You are constantly striving to learn new technologies and methodologies
+ You seek new ways to solve hard problems
+ You are unafraid to put your ideas out there and fail fast
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).

Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutions. Apply now to compete at the forefront of generative AI and financial technology!
At Manulife, we offer a uniquely collaborative environment where you will craft, develop, and deploy generative AI applications. These include copilots, summarization tools, conversational agents, and retrieval-augmented generation (RAG) pipelines to support both internal teams and client-facing platforms.
As a Machine Learning Engineer, your role will be crucial in implementing and fine-tuning large language models, integrating them with vector databases, and building scalable RAG systems. Collaborating with financial domain experts, you will understand complex use cases in wealth management, retirement planning, risk analysis, and client servicing. You'll also build and maintain APIs, model serving layers, and secure pipelines to ensure robust deployment and monitoring.
In this ambitious role, you will implement MLOps workflows to manage the full model lifecycle, including versioning, evaluation, and drift detection. Ensuring data privacy, security, compliance (e.g., FINRA, SEC), and responsible AI practices in all model deployments, you will contribute to our world-class standards!
**Required Qualifications**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ 3+ years of experience in machine learning engineering, including experience with production-level deployment.
+ Proficient in Python and experienced with generative AI and machine learning frameworks (e.g., Hugging Face Transformers, LangChain, PyTorch).
+ Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD workflows.
+ Experience building generative AI applications in a financial context (e.g., advisor tools, regulatory automation, portfolio analysis).
+ Deep understanding of LLM fine-tuning, embeddings, and timely optimization.
+ Knowledge of MLOps tools (MLflow, SageMaker, Azure ML) and model monitoring frameworks.
**Preferred Qualifications**
+ Familiarity with enterprise architecture, APIs, and secure software design in regulated environments.
+ Familiarity with timely engineering.
+ Awareness of financial regulations and compliance considerations (e.g., data retention, audibility, explainable).
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**À propos de Manuvie et de John Hancock**
La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l'adresse .
**Manuvie est un employeur qui souscrit au principe de l'égalité d'accès à l'emploi**
Chez Manulife/John Hancock nous valorisons notre diversité. Nous nous efforçons d'attirer, de perfectionner et de maintenir une main d'oeuvre qui est aussi diversifiée que nos clients, et de favoriser la création d'un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun. Nous nous engageons à assurer un recrutement, une fidélisation, une promotion et une rémunération équitables, et nous administrons toutes nos pratiques et tous nos programmes sans discrimination en raison de la race, de l'ascendance, du lieu d'origine, de la couleur, de l'origine ethnique, de la citoyenneté, de la religion ou des croyances ou des convictions religieuses, du genre (y compris grossesse et affection liée à une grossesse), de l'orientation sexuelle, des caractéristiques génétiques, du statut d'ancien combattant, de l'identité de genre, de l'expression de genre, de l'âge, de l'état matrimonial, de la situation de famille, d'une invalidité ou de tout autre motif protégé par la loi applicable.
Nous nous sommes donné comme priorité d'éliminer les obstacles à l'accès égalitaire à l'emploi. C'est pourquoi un représentant des Ressources humaines collaborera avec les candidats qui demandent accommodement raisonnable pendant le recrutement. Tous les renseignements communiqués pendant le processus de demande d'accommodement seront stockés et utilisés conformément aux lois et aux politiques applicables de Manuvie. Pour demander une mesure d'accommodement raisonnable dans le cadre du recrutement, écrivez à .
**Région de référence du salaire**
Toronto, Ontario
**Modalités de travail**
Hybride
**L'échelle salariale devrait se situer entre**
$75,880.00 CAD - $140,920.00 CAD
Si vous posez votre candidature à ce poste en dehors de la région principale, veuillez écrire à pour obtenir l'échelle salariale correspondant à votre région. Le salaire varie en fonction des conditions du marché local, de la géographie et de facteurs pertinents liés au poste telles les connaissances, les compétences, les qualifications, l'expérience et l'éducation ou la formation. Les employés ont également la possibilité de participer à des programmes de motivation et de toucher une rémunération incitative liée au rendement de l'entreprise et au rendement individuel.
Manuvie offre aux employés admissibles une vaste gamme d'avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d'aide aux employés et leur famille. Nous proposons également aux employés admissibles différents régimes d'épargne-retraite (y compris des régimes de rente et un programme international d'actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d'éducation et de conseils financiers. Notre généreux programme de congés rémunérés au Canada comprend les jours fériés, les congés annuels, les congés personnels et les congés de maladie, et nous offrons toute la gamme des congés autorisés prévus par la loi. Si vous posez votre candidature à ce poste aux États-Unis, veuillez écrire à pour obtenir de plus amples renseignements sur les dispositions relatives aux congés rémunérés spécifiques aux États-Unis.

Job Description

Job Description

Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.

Key Responsibilities:

• Design, develop, and implement machine learning models using Spark ML for predictive analytics
• Build and optimize end-to-end training and inference pipelines on distributed platforms
• Process and analyze large datasets to uncover insights and engineer effective features
• Work closely with data engineers to integrate ML models into existing data pipelines
• Fine-tune models and hyperparameters to maximize performance and accuracy
• Develop scalable solutions for both real-time and batch inference
• Continuously monitor deployed models and address any performance issues
• Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing

Required Qualifications:

• 10+ years of experience as a Machine Learning Engineer or similar role
• Expertise in Apache Spark and Spark MLlib
• Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
• Hands-on experience with distributed systems such as Hadoop
• Proficiency in Python, Scala, or Java
• Strong grasp of data preprocessing and feature engineering methodologies
• Familiarity with model evaluation metrics and production deployment practices
• In-depth knowledge of distributed computing and parallel processing principles

This office is located in Mississauga, and you will have to be 3 days onsite per week; must be onsite from Day 1

Job Description

Job Description

Salary: $100,000-$20,000+ yearly salary + benefits (See below for more details)

About us:

Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:

NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.

Job Overview:

As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.

You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.

You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.

You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.

What youll do:

• Own development of production-grade ML and AI systems from data to deployment.
• Build automated pipelines for training, feature engineering, and model serving.
• Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
• Optimize systems for performance, latency, and cost.
• Collaborate with cross-functional stakeholders to scope projects and communicate results.
• Monitor, retrain, and improve models based on feedback and system metrics.
  
  

What You Should Already Have:

• Experience deploying machine learning models into production systems.
• Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
• Strong understanding of model lifecycle, MLOps, and data pipeline design.
• Skills in inference optimization.
• Ability to collaborate with data, product, and business teams on impactful ML features.
• Experience with testing, monitoring, and CI/CD for ML systems.
• Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
• Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.

What We Will Give You:

• Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
• Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
• GRSP matching program to support your long-term financial goals.
• Transit-Friendly Employer (Transit allowance).
• A modern, collaborative workspace in the heart of downtown Vancouver.
• Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.

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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!